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Manipulation de particules diélectriques micrométriques par ondes électrostatiques progressives et stationnaires - Études théorique, expérimentale et numérique

Abstract : Traveling and standing wave electrostatic conveyors (TWC and SWC) are presented as advantageous techniques to effectively manipulate and transport particles on a surface. The aim of this work is to study the behavior of micrometer particles on these systems. Experimental studies begin with granulometric and optical characterization of particles and the measurement of their charge. Then, the particles displacement efficiency in both types of conveyors is studied under different conditions. In addition, the trajectories of the particles are visualized using high speed camera. The post-processing of the obtained images using Particle Tracking Velocimetry technique (PTV) is carried out to calculate and study the particles mean velocity and how it is affected by different parameters. The theoretical and numerical studies carried out aim to study the electric potential waves, the spatial and temporal variation of the electric field and the balance of the forces acting on particles. The last part concerns the modeling of particles trajectories and the numerical computation of their average velocity and displacement distance. The results obtained by modeling are in good agreement with the experimental observations and calculations. Several modes of movement are obtained depending on frequency, applied voltage value, as well as particle charge and size. Particles are transported more efficiently in the TWC when they are in synchronous hopping mode. Increasing the number of phases can minimize the effect of the backward harmonic waves and increase the speed of propagation of the forward wave that may help the particles to move faster and farther in one direction and lead to better displacement efficiency.
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Ayyoub Zouaghi. Manipulation de particules diélectriques micrométriques par ondes électrostatiques progressives et stationnaires - Études théorique, expérimentale et numérique. Energie électrique. Université de Poitiers, 2019. Français. ⟨NNT : 2019POIT2296⟩. ⟨tel-02490921⟩

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